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All Journal Teknik dan Ilmu Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknik Informatika UNIKA Santo Thomas Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Technology (JIfoTech) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) International Journal of Multidisciplinary Sciences and Arts MDP Student Conference jurnal informasi teknologi dan sistem Jurnal Informasi Teknologi dan Sistem (INTEKSIS) Jurnal Esensi Infokom : Jurnal Esensi Sistem Komputer dan Informasi
Tony Darmanto
STMIK Widya Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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APLIKASI PENYEWAAN MOBIL SAHABAT MAJU BORNEO BERBASIS ANDROID Ivanka Flowers, Patrick; Darmanto, Tony; Hendro, Hendro
INTEKSIS Vol 11 No 2: Nopember 2024
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current era of globalization, information technology is rapidly advancing, supporting almost all operations with technology-based applications, including Android smartphones. This technology facilitates access to information and data processing, thereby enhancing the efficiency and productivity of various sectors. Many service businesses now promote themselves through social media and print media, offering wide reach and direct interaction with customers. Service businesses, including car rental services, need to adopt technology to efficiently and effectively meet customer needs. Conventional car rental often faces issues such as vehicle condition discrepancies, complex administrative processes, and difficulties in monitoring orders and customer data. CV. Sahabat Maju Borneo in Kubu Raya Regency, West Kalimantan, also experiences difficulties in monitoring orders, facing customer data uncertainties, and constraints in selecting types of cars and knowing applicable rates. To address these issues, the author has developed a service application. This application allows business owners to monitor orders, view customer data, review rates, and record available car data. Customers can request rentals, choose cars, access rental rules, and know rates through this application. The "Sahabat Maju Borneo" application is effective in addressing various problems faced by conventional car rentals. This digital innovation enhances customer satisfaction and business productivity, and supports business sustainability in the modern technology era. Keywords: Application, Car, Rental, Service Business, Android.
Sistem Pakar Pendeteksi Penyakit Pernapasan Menggunakan Gradient Boosting dan Metode CNN Eva Gultom; Tony Darmanto; Jimmy Tjen
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 2 (2026): April 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i2.3601

Abstract

AbstractRespiratory diseases are among the most common illnesses in the community and are often underestimated. Low public awareness of respiratory diseases has led to a spike in mortality rates due to chronic respiratory diseases and slow treatment. One of the obstacles currently faced is that the manual diagnosis system takes a long time and requires limited specialist expertise. This study provides an expert system that can be used to detect respiratory tract diseases with two different types of input data. The Gradient Boosting algorithm is applied to improve diagnostic accuracy based on clinical data, while the CNN method is used to identify diseases using automatic features by extracting chest X-ray images. This study uses a dataset from Kaggle, which produces a data accuracy rate of 99.7% using Gradient Boosting and 95.93% using the CNN method. The accuracy results from each method show that this system can provide accurate respiratory disease detection results. Keywords: CNN; Gradient Boosting; Respiratory Disease; Expert System AbstrakPenyakit pernapasan merupakan salah satu penyakit yang sering ditemui di kalangan masyarakat dan sering diremehkan. Rendahnya tingkat kesadaran masyarakat terhadap penyakit pernapasan menyebabkan melonjaknya tingkat kematian, dikarenakan penyakit pernapasan kronis dan penanganan yang lambat. Kendala yang dihadapi saat ini salah satunya yaitu sistem diagnosis manual yang digunakan memerlukan waktu yang lama serta keahlian spesialis yang terbatas. Penelitian ini menyediakan sistem pakar yang dapat digunakan untuk mendeteksi penyakit saluran pernapasan dengan dua jenis data input yang berbeda. Algoritma Gradient Boosting diterapkan untuk meningkatkan akurasi diagnostik berdasarkan data klinis, sedangkan metode Convolutional Neural Networks (CNN) digunakan untuk mengidentifikasi penyakit menggunakan fitur otomatis dengan mengekstrak citra rontgen dada. Penelitian ini menggunakan dataset dari Kaggle, yang menghasilkan tingkat akurasi data sebesar 99,7% menggunakan Gradient Boosting dan 95,93% menggunakan metode CNN. Tingkat akurasi dari masing-masing metode menunjukkan bahwa sistem ini dapat memberikan hasil deteksi penyakit pernapasan yang akurat. 
Rancang Bangun Sistem Informasi Administrasi Pada Dadung Gym Hendra Wijaya; Tony Darmanto; Sandi Tendean
INTEKSIS Vol 12 No 2: November 2025
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v12i2.10589

Abstract

The rapid development of fitness centers has prompted the need for efficient administrative systems. Dadung Gym in Pontianak faces challenges in managing member data and transactions due to reliance on traditional administrative methods. This study aims to design a mobile-based information system to reduce data processing errors, enhance service quality, and support strategic decision-making. Using an object-oriented approach with UML modeling, the system is developed with Flutter for the application framework, Firebaseas the database, and Visual Studio Code as the development tool. The new system automates data recording and offers features such as membership management, GPS-based attendance, and integrated reporting. Implementation of this mobile-based system is expected to improve service quality, simplify administrative processes, and provide a foundation for future business development at Dadung Gym Pontianak.
Rancang Bangun Sistem Virtual Mouse Dengan Hand Gesture Recognition Menggunakan Convolutional Neural Network Jeffrey Ken; Tony Darmanto; Hendro
INTEKSIS Vol 12 No 2: November 2025
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v12i2.10591

Abstract

The development of human-computer interaction technology continues to grow, especially in the context of hand gesture recognition for device control applications. One interesting application is designing a virtual mouse system based on hand gesture recognition using a Convolutional Neural Network (CNN). This research was conducted to overcome the limitations of conventional input devices and utilize modern technology to create a more sophisticated and adaptive control system. This research focuses on developing a system that is able to identify and interpret hand gestures accurately in a real-time environment. The proposed system utilizes an RGB camera to capture images of the user's hand gestures, which are then processed by a CNN that has been pre-trained to recognize different gestures. Experiments were carried out using a gesture dataset that included variations in pose and hand orientation to evaluate the system's performance in recognizing gestures with a sufficient level of accuracy. The research results show that the system can successfully control the movement of the cursor on the computer screen with high accuracy, validating the potential practical application of this technology in improving the user experience in computer interactions. The implication of this research is a contribution to the development of more intuitive and effective user interfaces through the integration of hand gesture technology in virtual mouse applications.
Aplikasi Klasifikasi Penyakit Pada Tanaman Jambu Air Menggunakan Metode CNN Antonius Oktavian Jethro; Tony Darmanto; Riyadi J. Iskandar
INTEKSIS Vol 12 No 2: November 2025
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v12i2.10592

Abstract

Diseases in water apple plants can significantly reduce the quality and quantity of the harvest, thus an accurate early classification system is needed. This research aims to develop an automatic classification system to assist in the early diagnosis of diseases in water apple plants. This system uses a Convolutional Neural Network (CNN) model with the MobileNetV2 architecture optimized through fine-tuning techniques. The dataset was obtained from Kaggle, Roboflow, and direct data collection, with a distribution of 80 percent training data, 10 percent validation data, and 10 percent testing data. The model was trained to recognize nine different conditions from images of leaves and fruits, then integrated into a web application. Testing results showed very good performance, with a final accuracy of 94 percent and a balanced F1-Score of 93 percent on unseen test data. However, the model faces challenges in distinguishing diseases with high visual similarity, especially in the class of leaves with brown spots. Overall, this research successfully produced an effective and accurate classification system. The developed application has high practical potential as an early diagnosis aid to improve plant health management and reduce the potential for crop loss.
PERANCANGAN APLIKASI PENJUALAN PADA PO BINTANG INDAH BERBASIS WEB Gerry Christoper; Tony Darmanto; Kartono Kartono
INTEKSIS Vol 13 No 1: Mei 2026
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v13i1.10612

Abstract

Pada saat ini perkembangan informasi telah berkembang dengan sangat pesat, oleh karena itu sudah banyak perusahaan atau instansi yang menggunakan sistem informasi untuk meningkatkan usahannya. Cara untuk meningkatkan suatu usaha adalah dengan membangun sistem informasi penjualan. Syarat untuk membangun sistem informasi yang baik yaitu adanya kecepatan dan keakuratan untuk memperoleh informasi yang dibutuhkan. Aplikasi penjualan adalah suatu sistem yang dapat menyimpan data, mengolah data, dan memberikan informasi yang diinginkan secara tepat dan akurat yang berguna bagi perusahaan atau instansi untuk kemajuan usahanya. Pada PO Bintang Indah yang masih menggunakan metode lama dan cara-cara manual, hal itu sangat tidak efisien. Untuk mengatasi hal tersebut, dibutuhkan sebuah aplikasi penjualan yang dapat membantu dan mempermudah dalam melakukan Penjualan, transaksi dan rekapitulasi data laporan, sehingga prosedur pada PO Bintang Indah dapat dilakukan dengan cepat dan akurat. Aplikasi sistem informasi penjualan ini dibuat dengan menggunakan PHP dengan database MySQL.
PENERAPAN SPEECH RECOGNITION PADA APLIKASI KONVERSI BILANGAN BERBASIS ANDROID Vivi Kristianty; Tony Darmanto; Thommy Willay
INTEKSIS Vol 13 No 1: Mei 2026
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v13i1.10620

Abstract

Dalam era perkembangan teknologi informasi yang pesat telah membawa dampak terhadap kehidupan manusia, termasuk dalam pengembangan aplikasi konversi bilangan. Pengembangan aplikasi konversi bilangan adalah solusi untuk menyelesaikan masalah konversi bilangan dengan memanfaatkan Google Speech Recognition untuk mempermudah manusia yang memiliki disabilitas motorik atau penglihatan. Proses pengembangan aplikasi konversi bilangan meliputi analisis kebutuhan, desain sistem, implementasi, pengujian, dan evaluasi. Android studio digunakan sebagai platform untuk membangun aplikasi konversi bilangan, aplikasi ini memanfaatkan fitur text to speech juga untuk mempermudah pengguna dalam mendapatkan hasil perhitungan dalam bentuk suara. Setelah selesai dikembangkan, aplikasi konversi bilangan ini dapat diinstal di perangkat Android. Aplikasi ini diharapkan dapat memberikan solusi untuk mempermudah pengguna dalam melakukan perhitungan konversi bilangan yang disertai langkah-langkah untuk mendapatkan sebuah hasil akhirnya. Selain itu, langkah-langkah yang ditampilkan diharapkan dapat menjadi media pembelajaran mengenai pemahaman mendapatkan hasil konversi yang terjadi.
UI/UX Design for New Student Admission Queue System Using the Design Thinking Method Antonius Antonius; Genrawan Hoendarto; Tony Darmanto; Sandi Tendean
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 2 (2026): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i2.8347

Abstract

The new student admission process (PMB) often faces queue management issues, as prospective students must wait in line to submit documents, verify data, and consult staff. This study designed a user interface (UI) for a PMB queueing system at Universitas Widya Dharma Pontianak (UWDP) using the Design Thinking approach. The UI was created with Figma as an interactive prototype and later developed into a web-based application. Design Thinking consists of five stages: empathize, define, ideate, prototype, and test to ensure the solution meets user needs. During empathize, interviews and observations were conducted with students and the PMB committee to identify queue-related problems. The findings were turned into user personas and problem statements in the define stage. Next, the ideate stage produced prioritized solution ideas, followed by a user interface prototype in Figma. The resulting prototype visualizes the queueing process from registration to student call-outs, featuring remote queue number retrieval, and the real-time queue display. The prototype was tested using the System Usability Scale (SUS) questionnaire with 30 prospective students. The average SUS score was 78.5, classified as "acceptable" with a grade B (Good). This indicates that the prototype has good acceptance and meets user needs in terms of ease of use and clarity of queue information. This research contributes to the development of digital queueing systems in higher education and enriches the literature on applying Design Thinking to new student admissions.
Rancang Bangun Sistem Informasi Administrasi Pada Dadung Gym Hendra Wijaya; Tony Darmanto; Sandi Tendean
INTEKSIS Vol 12 No 2: November 2025
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v12i2.10589

Abstract

The rapid development of fitness centers has prompted the need for efficient administrative systems. Dadung Gym in Pontianak faces challenges in managing member data and transactions due to reliance on traditional administrative methods. This study aims to design a mobile-based information system to reduce data processing errors, enhance service quality, and support strategic decision-making. Using an object-oriented approach with UML modeling, the system is developed with Flutter for the application framework, Firebaseas the database, and Visual Studio Code as the development tool. The new system automates data recording and offers features such as membership management, GPS-based attendance, and integrated reporting. Implementation of this mobile-based system is expected to improve service quality, simplify administrative processes, and provide a foundation for future business development at Dadung Gym Pontianak.
Rancang Bangun Sistem Virtual Mouse Dengan Hand Gesture Recognition Menggunakan Convolutional Neural Network Jeffrey Ken; Tony Darmanto; Hendro
INTEKSIS Vol 12 No 2: November 2025
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66003/inteksis.v12i2.10591

Abstract

The development of human-computer interaction technology continues to grow, especially in the context of hand gesture recognition for device control applications. One interesting application is designing a virtual mouse system based on hand gesture recognition using a Convolutional Neural Network (CNN). This research was conducted to overcome the limitations of conventional input devices and utilize modern technology to create a more sophisticated and adaptive control system. This research focuses on developing a system that is able to identify and interpret hand gestures accurately in a real-time environment. The proposed system utilizes an RGB camera to capture images of the user's hand gestures, which are then processed by a CNN that has been pre-trained to recognize different gestures. Experiments were carried out using a gesture dataset that included variations in pose and hand orientation to evaluate the system's performance in recognizing gestures with a sufficient level of accuracy. The research results show that the system can successfully control the movement of the cursor on the computer screen with high accuracy, validating the potential practical application of this technology in improving the user experience in computer interactions. The implication of this research is a contribution to the development of more intuitive and effective user interfaces through the integration of hand gesture technology in virtual mouse applications.
Co-Authors Adi Andoyo Adrian Christian Antonius Antonius Antonius Oktavian Jethro Arthadi Putra, Alfred Yulius Bobby Reza Cipto Wirawan Dahlan, Apollinaris Alfren Stevano Augusto Darma, Jenshen Didik Setiyadi Edi Gunawan Eva Gultom Flobert Nugroho Genrawan Hoendarto Gerry Christoper Hendra Wijaya Hendro Hendro Hendro, Hendro Hoga Saragih Hoga Saragih Ivanka Flowers, Patrick Jeffrey Ken jeffrey ken Jimmy Tjen Kartono Kartono , Krisma, Hendra Lukman Lukman Novina, Firda Pradista, Romanus Reza, Boby Riyadi J. Iskandar Serafina Santi Tendean, Sandi Thommy Willay Thommy Willay Thommy Willay Tuagus Tuagus Venecia Venecia Vivi Kristianty Welly Wiranatha Willay, Thommy Wirawan, Cipto Yansen Christian Yogi Tinnando